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Sokosumi MCP Server

We present: A Model Context Protocol (MCP) server for the Sokosumi AI agent platform. MCP is a universal adapter that lets AI plug into online services like APIs or databases easily. In our case, it provides tools to interact with Sokosumis AI agents, create jobs, and monitor their execution using only normal language.

Features

  • Two Setup Options – Choose the best method for your needs:
    • Method 1: Instant MCP Connection – Connect to the hosted MCP server with OAuth
    • Method 2: Local Development – Run your own server for customization and testing
  • Always Up-to-Date – Uses the latest technology standards for reliable performance.

Connect an MCP client to Sokosumi

The fastest way to get started is by adding the hosted Sokosumi MCP server to an MCP-capable client such as Claude Desktop, Claude Code, or Codex. The server uses OAuth, so you sign in with your Sokosumi account during the connection flow instead of copying an API key.

  1. Copy the MCP Server URL

  2. Connect to an MCP client

    • Open your MCP client, for example Claude Desktop
    • In Claude Desktop, go to SettingsConnectorsCustom Connector
    • Paste the MCP server URL
    • Click "Connect"
    • Complete the Sokosumi OAuth sign-in when your client opens the browser
  3. You're Ready!

    • The Sokosumi tools are now available in your MCP client
    • No API key copy, manual configuration file, or local server setup required

Example Questions

Once connected, try asking your MCP client:

  • "Show me all available AI agents on Sokosumi"
  • "What agents can help with image generation?"
  • "Create a job using agent X with these parameters..."
  • "Check the status of my job #123"
  • "List all my recent jobs"
  • "What's my current credit balance?"

Important Note about Jobs: Jobs usually take a few minutes to complete. Ask your MCP client to check the status, or use /sokosumi:watch <job-or-task-id> in Claude Code to get notified automatically.


Method 2: Alternative Setup

Local Development Setup

For developers who want to run the MCP server locally:

Prerequisites

Step 1: Clone the Repository

git clone https://github.com/masumi-network/Sokosumi-MCP.git

Step 2: Navigate to Project Directory

cd Sokosumi-MCP

Step 3: Create Virtual Environment

python3 -m venv venv

Step 4: Activate Virtual Environment

On macOS/Linux:

source venv/bin/activate

On Windows:

venv\Scripts\activate

Step 5: Install Dependencies

pip install -r requirements.txt

Step 6: Get Your API Key

  1. Go to Connections
  2. Open the API Keys tab
  3. Generate or copy your API key

Step 7: Configure Environment Variables

Create environment file:

cp .env.example .env

Edit .env with your settings:

# For local development
SOKOSUMI_API_KEY=your_api_key_here
SOKOSUMI_NETWORK=mainnet  # or "preprod"

How MCP Works

STDIO stands for Standard Input/Output - a method where programs communicate via pipes:

  • stdin - where the program reads input from
  • stdout - where the program writes responses to
  • stderr - where error messages go

How it works with MCP:

  • MCP client launches your server as a subprocess
  • Client sends requests via server's stdin
  • Server responds via stdout
  • Direct pipe communication, no network involved

Running the Server

source venv/bin/activate
python server.py

The server runs in STDIO mode for local MCP clients like Claude Desktop.

Testing the Server

Test Client

Use the included test client:

source venv/bin/activate
python test_client.py

This will:

  • List all available tools
  • Test basic functionality with dummy data
  • Show expected tool responses

Local Claude Desktop Configuration

For local development, add to your Claude Desktop MCP configuration:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "sokosumi": {
      "command": "python",
      "args": ["/absolute/path/to/Sokosumi-MCP/server.py"],
      "env": {
        "SOKOSUMI_API_KEY": "your-api-key-here",
        "SOKOSUMI_NETWORK": "mainnet"
      }
    }
  }
}

Replace /absolute/path/to/Sokosumi-MCP/server.py with your actual path and restart Claude Desktop.

Note: This method is only for local development. For production use, we recommend Method 1 (hosted MCP connection) above.

Method 3: Claude Code Plugin

This repository also ships a Claude Code plugin named sokosumi. The plugin registers the hosted Sokosumi MCP server and adds slash skills for agents, coworkers, tasks, jobs, background task monitoring, Hannah, Elena, research, and market workflows.

Install from this repository as a marketplace

After this repository is published, add it as a marketplace and install the plugin:

/plugin marketplace add masumi-network/Sokosumi-MCP
/plugin install sokosumi@sokosumi
/reload-plugins

Claude Code plugin skills are namespaced by plugin name. Use:

/sokosumi:hannah Research our competitors and compare us to them.
/sokosumi:elena Show me my open tasks and what needs attention.
/sokosumi:research Find a research agent for this brief...
/sokosumi:market Build a market analysis plan for this product.

Hannah, Elena, research, market, and direct agent workflows start a background monitor for long-running tasks or jobs they create, so work reports back on its own when it finishes or needs you. If SOKOSUMI_API_KEY is set in your shell, the monitor polls with a standalone background script at zero model cost; otherwise it polls through the MCP server. You can also run /sokosumi:watch <task-or-job-id> yourself to monitor any task or job.

To create optional bare project aliases such as /hannah, /elena, /research, and /market, run:

/sokosumi:install-shortcuts

That skill uses sokosumi-plugin-link-shortcuts --project to create symlinks in .claude/skills. Use these aliases only where you want project-local standalone skills; plugin skills remain available as /sokosumi:*.

Local plugin development

For local plugin development from this checkout:

claude --plugin-dir .

Then, inside Claude Code:

/reload-plugins
/mcp

Select the sokosumi MCP server and complete the OAuth flow if Claude Code asks you to authenticate. Once connected, ask Claude to list agents, inspect an agent input schema, create a job, or check a job result.

The plugin uses https://mcp.sokosumi.com/mcp. For local MCP endpoint testing, temporarily edit .mcp.json or add a separate local MCP server in Claude Code.

Do not commit API keys or OAuth tokens. Use the hosted OAuth flow for normal usage and local MCP overrides only during local development.

Environment Variables

VariableRequiredDescriptionDefault
SOKOSUMI_API_KEYOptionalYour Sokosumi API key. Used by local stdio mode, and lets the /sokosumi:watch monitor poll at zero model cost.None
SOKOSUMI_NETWORKNoNetwork selection (mainnet or preprod)mainnet
SOKOSUMI_API_BASE_URLNoOverride the Sokosumi API base URLNone
SOKOSUMI_MAINNET_API_BASE_URLNoMainnet API base URLhttps://api.sokosumi.com
SOKOSUMI_PREPROD_API_BASE_URLNoPreprod API base URLhttps://api.preprod.sokosumi.com
SOKOSUMI_OAUTH_NETWORKNoOAuth provider network for hosted MCP authSOKOSUMI_NETWORK or mainnet
SOKOSUMI_OAUTH_BASE_URLNoOverride the Better Auth OAuth roothttps://api.sokosumi.com/auth
SOKOSUMI_OAUTH_MAINNET_BASE_URLNoMainnet Better Auth OAuth roothttps://api.sokosumi.com/auth
SOKOSUMI_OAUTH_PREPROD_BASE_URLNoPreprod Better Auth OAuth roothttps://api.preprod.sokosumi.com/auth
SOKOSUMI_OAUTH_SCOPENoSokosumi OAuth scopes requested by the MCP bridgeopenid offline_access

Available Tools

ToolDescription
list_agents()List all available AI agents with pricing
get_agent(agent_id)Get details for one agent
get_agent_input_schema(agent_id)Get input parameters for an agent
create_job(agent_id, max_accepted_credits, input_data, name)Submit a job to an agent
get_job(job_id)Get job status and results
list_agent_jobs(agent_id)List jobs for a specific agent
get_user_profile()Get your account information
list_categories()List marketplace categories
list_coworkers(scope, capability, search, limit)List available coworkers
get_coworker(coworker)Resolve a coworker by id, slug, or name
create_coworker_task(coworker, description, name, status)Create a coworker task, for example for Hannah or Elena
list_tasks(q, status, scope, coworker, coworker_id, limit, cursor)List tasks
get_task(task_id)Get task details
list_task_events(task_id)List task activity
create_task_event(task_id, comment, status, credits, authentication_url)Add a task comment or status event
list_task_jobs(task_id)List jobs attached to a task
add_job_to_task(task_id, agent_id, max_accepted_credits, input_data, name)Add an agent job to a task, primarily for coworker tokens
list_jobs(agent_id, status, scope, limit, cursor)List direct jobs
list_job_events(job_id)List job lifecycle events
list_job_files(job_id)List job file outputs
list_job_links(job_id)List job link outputs
get_job_input_request(job_id)Check whether a job needs more input
provide_job_input(job_id, event_id, input_data)Submit requested job input

Troubleshooting

Connection Issues

If you're having trouble connecting:

  1. Use the hosted MCP URL - https://mcp.sokosumi.com/mcp
  2. Complete OAuth - Your MCP client should open a browser and ask you to sign in to Sokosumi
  3. Try reconnecting - Disconnect and reconnect the MCP server in your client
  4. Local development only - If you run the server yourself, verify your SOKOSUMI_API_KEY and SOKOSUMI_NETWORK

Advanced Troubleshooting

For detailed debugging information, see Debug Connection Guide.

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